Radio resource and trajectory optimization for UAV assisted communication based on user route

Lei LANG; Jingning WANG; Yi WANG; Zitao ZHAO

doi:10.11959/j.issn.1000-436x.2022059

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Radio resource and trajectory optimization for UAV assisted communication based on user route

Correspondences | 更新时间：2024-06-05

- Radio resource and trajectory optimization for UAV assisted communication based on user route
- Journal on Communications Vol. 43, Issue 3, Pages: 225-232(2022)
- 作者机构：
  
  1. 中国电子科技集团公司第五十四研究所，河北石家庄 050081
  2. 通信网信息传输与分发技术国家重点实验室，河北石家庄 050081
- 作者简介：
- 基金信息：
  
  The Key Research and Development Program of Hebei Province(20370402D)
- DOI：10.11959/j.issn.1000-436x.2022059
  CLC： TN929.5
- Online First：2022-03，
  
  Published：25 March 2022
- 稿件说明：
移动端阅览
Lei LANG, Jingning WANG, Yi WANG, et al. Radio resource and trajectory optimization for UAV assisted communication based on user route[J]. Journal on Communications, 2022, 43(3): 225-232.
DOI：

Lei LANG, Jingning WANG, Yi WANG, et al. Radio resource and trajectory optimization for UAV assisted communication based on user route[J]. Journal on Communications, 2022, 43(3): 225-232. DOI： 10.11959/j.issn.1000-436x.2022059.

摘要

近年来，将无人机应用在无线通信网络中来提高系统性能的研究越来越普遍。针对无人机辅助移动用户通信的下行无线传输系统，提出了一种基于用户轨迹的无人机辅助通信系统无线资源分配和航迹优化方法。根据已知的用户运动轨迹提前获取估计的大尺度信道状态信息，以最大化用户的最小平均速率为目标，建立了一个联合优化无人机通信带宽分配和飞行航迹优化的问题。该问题是一个非凸优化问题，要优化的变量之间存在非线性耦合，通过引入辅助变量和分离变量交替优化的方法，将原问题分解为2个可以求解的近似凸优化子问题，并利用连续凸逼近方法对2个子问题交替迭代优化，得到原非凸问题一个近似次优解。仿真结果表明，所提方法能够有效提高用户的平均数据吞吐量，在保证所有用户的通信质量的前提下提高无人机辅助通信的效率。

Abstract

Recently

research on the application of unmanned aerial vehicle (UAV) in wireless communication networks has been widely studied.Aiming at the downlink wireless transmission system of UAV assisted mobile user communication

a method of resource allocation and trajectory optimization based on user route was proposed.According to the known user route

the estimated large-scale channel state information was obtained in advance

and a joint optimization problem of communication bandwidth allocation and trajectory optimization was established to maximize the minimum average rate of users.The problem was a nonconvex optimization problem

and there was nonlinear coupling between the variables.By introducing the method of alternating optimization of auxiliary variables and separated variables

the original problem was decomposed into two approximate convex optimization subproblems which could be solved

and the successive convex approximation was used to iteratively optimize the two subproblems

and an approximate suboptimal solution of the original nonconvex problem was obtained.Simulation results show that the proposed method of resource allocation and trajectory optimization can effectively improve the average data throughput of users

and improve the efficiency of UAV assisted communication on the premise of ensuring the communication quality of all users.

关键词

Keywords

references

ZENG Y , ZHANG R , LIM T J . Wireless communications with unmanned aerial vehicles:opportunities and challenges [J ] . IEEE Communications Magazine , 2016 , 54 ( 5 ): 36 - 42 .

WANG C X , HAIDER F , GAO X Q , et al . Cellular architecture and key technologies for 5G wireless communication networks [J ] . IEEE Communications Magazine , 2014 , 52 ( 2 ): 122 - 130 .

YOU X H , WANG C X , HUANG J , et al . Towards 6G wireless communication networks:vision,enabling technologies,and new paradigm shifts [J ] . Science China Information Sciences , 2020 , 64 ( 1 ): 1 - 74 .

ONO F , OCHIAI H , MIURA R . A wireless relay network based on unmanned aircraft system with rate optimization [J ] . IEEE Transactions on Wireless Communications , 2016 , 15 ( 11 ): 7699 - 7708 .

ZENG Y , ZHANG R , LIM T J . Throughput maximization for UAV-enabled mobile relaying systems [J ] . IEEE Transactions on Communications , 2016 , 64 ( 12 ): 4983 - 4996 .

DIAO X B , ZHENG J C , CAI Y M , et al . Fair data allocation and trajectory optimization for UAV-assisted mobile edge computing [J ] . IEEE Communications Letters , 2019 , 23 ( 12 ): 2357 - 2361 .

CHENG K , TENG Y L , SUN W Q , et al . Energy-efficient joint offloading and wireless resource allocation strategy in multi-MEC server systems [C ] // Proceedings of 2018 IEEE International Conference on Communications . Piscataway:IEEE Press , 2018 : 1 - 6 .

JEONG S , SIMEONE O , KANG J . Mobile edge computing via a UAV-mounted cloudlet:optimization of bit allocation and path planning [J ] . IEEE Transactions on Vehicular Technology , 2018 , 67 ( 3 ): 2049 - 2063 .

ZHANG J , LIANG F Z , LI B , et al . Placement optimization of caching UAV-assisted mobile relay maritime communication [J ] . China Communications , 2020 , 17 ( 8 ): 209 - 219 .

YANG X , LI Z P , GE X H . Deployment optimization of multiple UAVs in multi-UAV assisted cellular networks [C ] // Proceedings of 2019 11th International Conference on Wireless Communications and Signal Processing (WCSP) . Piscataway:IEEE Press , 2019 : 1 - 7 .

LYU J B , ZENG Y , ZHANG R , et al . Placement optimization of UAV-mounted mobile base stations [J ] . IEEE Communications Letters , 2017 , 21 ( 3 ): 604 - 607 .

ZHANG J , ZHANG T , YANG Z , et al . Altitude and number optimisation for UAV-enabled wireless communications [J ] . IET Communications , 2020 , 14 ( 8 ): 1228 - 1233 .

SHAN L , MIURA R . Energy-efficient scheduling under hard delay constraints for multi-user MIMO system [C ] // Proceedings of 2014 International Symposium on Wireless Personal Multimedia Communications (WPMC) . Piscataway:IEEE Press , 2014 : 696 - 699 .

WEI T , FENG W , WANG J , et al . Exploiting the shipping lane information for energy-efficient maritime communications [J ] . IEEE Transactions on Vehicular Technology , 2019 , 68 ( 7 ): 7204 - 7208 .

RAZAVIYAYN M . Successive convex approximation:analysis and applications [D ] . Minnesota:University of Minnesota , 2014 .

BOYD S , VANDENBERGHE L . Convex optimization [M ] . Cambridge : Cambridge University Press , 2004 .

XU Y , XIAO L , YANG D C , et al . Energy-efficient UAV communication with multiple GTs based on trajectory optimization [J ] . Mobile Information Systems,2018 , 2018 :5629573.

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